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Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 1st ed. 2016 [Hardback]

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  • Format: Hardback, 450 pages, height x width: 235x155 mm, weight: 8159 g, 131 Illustrations, color; 60 Illustrations, black and white; IX, 450 p. 191 illus., 131 illus. in color., 1 Hardback
  • Series: Studies in Computational Intelligence 650
  • Pub. Date: 09-Jul-2016
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3319333844
  • ISBN-13: 9783319333847
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  • Format: Hardback, 450 pages, height x width: 235x155 mm, weight: 8159 g, 131 Illustrations, color; 60 Illustrations, black and white; IX, 450 p. 191 illus., 131 illus. in color., 1 Hardback
  • Series: Studies in Computational Intelligence 650
  • Pub. Date: 09-Jul-2016
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3319333844
  • ISBN-13: 9783319333847
Other books in subject:
This book is a remarkable collection of chapters covering a wider range of topics, including unsupervised text mining, anomaly and Intrusion Detection, Self-reconfiguring Robotics, application of Fuzzy Logic to development aid, Design and Optimization, Context-Aware Reasoning, DNA Sequence Assembly and Multilayer Perceptron Networks. The twenty-one chapters present extended results from the SAI Intelligent Systems Conference (IntelliSys) 2015 and have been selected based on high recommendations during IntelliSys 2015 review process. This book presents innovative research and development carried out presently in fields of knowledge representation and reasoning, machine learning, and particularly in intelligent systems in a more broad sense. It provides state - of - the - art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Reviews

This book is a collection of extended and selected results from the 2015 SAI Intelligent Systems Conference, held in London. All of the papers are interesting and each has a comprehensive bibliography. The reader interested in seeing a wide range of applications can dip into this book for examples. (J. P. E. Hodgson, Computing Reviews, January, 2017)

A Hybrid Intelligent Approach for Metal-Loss Defect Depth Prediction in
Oil and Gas Pipelines.- Predicting Financial Time Series Data Using Hybrid
Model.- Diagnosis System for Predicting Bladder Cancer Recurrence using
Association Rules and Decision Trees.- An Unsupervised Text-Mining Approach
and a Hybrid Methodology to Improve Early Warnings in Construction Project
Management.- Quantitative Assessment of Anomaly Detection Algorithms in
Annotated Datasets from the Maritime Domain.- Using Fuzzy PROMETHEE to Select
Countries for Developmental Aid.- Self-Reconfiguring Robotic Framework Using
Fuzzy and Ontological Decision Making.- Design and Optimization of Permanent
Magnet Based Adhesion Module for Robots Climbing on Reinforced Concrete
Surfaces.- Implementation of PID, Bang-bang and Backstepping con-trollers on
3D Printed Ambidextrous Robot Hand.- Multiple Robots Task Allocation for
Cleaning and Delivery.- Optimal Tuning of Multivariable Centralized
Fractional Order PID Controller using Bat Optimization and Harmony Search
Algorithms for Two Interacting Conical Tank Process.- Entity Configuration
and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things
Controller.- Track-Based Forecasting of Pedestrian Behavior by Polynomial
Approximation and Multilayer Perceptrons.- Assembly Assisted by Augmented
Reality (A3R).- Maximising Overlap Score in DNA Sequence Assembly Problem by
Stochastic Diffusion Search.- A Comparative Analysis of Detecting Symmetries
in Toroidal Topology.- Power Quality Enhancement in Off-Grid Hybrid Renewable
Energy Systems Using Type-2 Fuzzy Control of Shunt Active Filter.- Fast Intra
Mode Decision for HEVC.- WSN Efficient Data Management and Intelligent
Communication for Load Balancing Based on Khalimsky Topology and Mobile
Agents.- Indirect Method of Learning Weights Parameters of Intuitionistic
Statement Networks.- CombinedData and Execution Flow Host Intrusion Detection
using Machine Learning.